Cloud Orchestration
Cloud Orchestration Extending your core orchestration technology.

Cloud Orchestration for Managed Service Delivery

Effective cloud orchestration involves automated software-based discovery, monitoring, provisioning and optimization of complex IT infrastructure and IT service management processes. Software-defined-X is sweeping the technology landscape by separating the data-plane from the control-plane. This provides greater flexibility to the dynamic usage patterns of cloud resources. We’ve built industrial-grade cloud orchestrators encompassing network management, e-discovery and ITSM (IT Services Management) along with control-plane solutions to accelerate cloud management and orchestration requirements.

Cloud Orchestration

The Zymr Difference

What Our Customers Say

Working with Zymr surpassed our expectations. Zymr leveraged deep competencies to build a highly scalable, multi-tiered architecture for application performance management, fault management and correlation, for our cutting-edge Datacenter Operations Analytics Suite. I recommend them highly to anyone seeking reliable and agile product engineering.

Sameer-Padhye Sameer Padhye CEO – FixStream Networks

Service Management Cloud Orchestrator

Every new software service, for example SaaS products, need a comprehensive cloud orchestration and management solution. This starts with a well defined ontology and object models of the service. Next is designing the life-cycle from initiation to tear-down. Initiation requires well designed automated service provisioning, authorization and billing. During normal operations it is vital to monitor for performance and faults in order to optimize the service for SLA compliance.

Cloud Orchestrator

Features of Service Management

Network Management Cloud Orchestrator

Networks are no longer islands. Managing networks effectively requires a comprehensive understanding of the underlying networking infrastructure including FCAPS. Classic network management layers comprise of EMS, NMS, OSS and BMS. With the advent of SDN, network management has morphed to cloud-based software controllers that need an accurate view of the underlying network topology to provision flows, and monitor and adapt based on QoS to recover from faults.

Cloud Orchestrator

Features of Network Management

  • Network Discovery

    Discovering networking assets to gauge their connectivity, configuration and operational status is essential to getting a handle on the network topology. We leverage our experience in building discovery technology accelerators as well as products for clients in the EMS, NMS and Cloud Controllers space.

  • Network FCAPS

    Once network topology has been established and networking assets have been discovered. The next step is implementing FCAPS with advanced features like rules based fault correlation and policy management.

  • Network Orchestration

    NMS has evolved from passively monitoring dashboards to fully automated policy-based orchestration solutions. Automatic responses prevent network failures by integrating active monitoring and response to faults like SNMP Traps. We develop automated cloud orchestrators using streaming analysis of faults and triggering BPM-based workflows to autocorrect concerns before they become crises.

    Storage Management Cloud Orchestrator

    The volume of data and its attendant storage is exploding. The challenge only grows with storage innovations like virtualization, Tier-0 SSD for faster IOPS and data durability, the transformation of object storage and technologies such as Amazon’s S3 and OpenStack Swift. Solutions must incorporate new standards from SNIA for CSMI, including SNIA’s SMI-S or SMI-C management profiles to manage storage based on APIs.

    Cloud Software Controllers

    Features of Storage Management

    Datacenter Management Cloud Orchestrator

    DCIM has always been very complex due to frequent upgrade cycles and multi-vendor infrastructure. Today’s cloud based services–IaaS, PaaS, SaaS–are provided by virtualized services. There is also an increasing emphasis on improving datacenter efficiency through metrics tracking power consumption, bare-metal server workloads and VM, network, and storage management. We develop DCIM solutions from scratch to cover energy, server, network, storage, hypervisor, OS and application monitoring.

    Cloud Software Controllers

    Features of Datacenter Management

    • Discover

      DCIM solutions are generally built with an accurate CMDB that includes auto-discovery of heterogeneous datacenter assets. Monitoring and optimizing these resources requires keeping track of and updating datacenter inventory. We build comprehensive multi-vendor auto-discovery services for DCIM and record these assets in a CMDB based on ITILv3 standards.

    • Monitor

      Developing metrics for operational efficiency starts with monitoring datacenter assets, virtual services and applications. Different asset classes often have their own protocols. Networks use SNMP, storage uses SMI-S and hypervisors have their own set of APIs. Application monitoring is also multi-faceted, with some Java applications providing JMX APIs with others using proprietary APIs. We build comprehensive multi-vendor and multi-protocol monitoring systems within our cloud orchestrators.

    • Optimize

      Big data analytics makes it possible to integrate real-time streams of threshold crossing events. Analysis of these streams can lead to further optimization through automated orchestration. For example, recovery procedures can be automatically kicked in when the availability zone of a datacenter is performing poorly. We build automated cloud orchestration solutions based on user-defined workflows to integrated fault and performance monitoring events.

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